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07/06/2022
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
In this paper, we study the partial multi-label (PML) image classificati...
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05/05/2022
MMINR: Multi-frame-to-Multi-frame Inference with Noise Resistance for Precipitation Nowcasting with Radar
Precipitation nowcasting based on radar echo maps is essential in meteor...
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08/17/2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
To further improve the performance and the self-learning ability of GCNs...
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12/15/2020
Network experimentation at scale
We describe our framework, deployed at Facebook, that accounts for inter...
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11/29/2013
Continuous Collision Detection for Composite Quadric Models
A composite quadric model (CQM) is an object modeled by piecewise linear...
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08/19/2013
Medial Meshes for Volume Approximation
Volume approximation is an important problem found in many applications ...
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06/29/2013